Lucas Godoi
Verified Expert in Product Management
Product Manager
Bragança Paulista - State of São Paulo, Brazil
Toptal member since March 27, 2026
Lucas is a strategic product leader with 15+ years of experience driving innovation and growth across global digital platforms. He bridges the gap between data-driven strategy and hands-on AI orchestration, building multi-agent workflows that transform platform capabilities. Beyond managing roadmaps, Lucas is a builder focused on rapid prototyping and scaling products that align technical excellence with a deep client vision to generate real and measurable results.
Project Highlights
Expertise
- Agentic AI
- Artificial Intelligence (AI)
- Banking Products
- Innovation
- Payments
- Product Development
- Project Management
- Startups
Work Experience
AI Product Manager
Consorciei
- Transformed the legacy eCommerce architecture of the partners into an AI-driven agentic ecosystem with dynamic orchestration, achieving fully automated user journeys and a more intuitive, conversational customer experience.
- Architected a multi-agent orchestration framework for distinct customer segments, ensuring seamless context maintenance throughout the lifecycle and eliminating the friction usually found between lead acquisition and the checkout process.
- Accelerated the product development roadmap by rapidly delivering functional agentic system prototypes, integrating RAG and automated insights to secure immediate stakeholder buy-in for full-scale production implementation.
- Optimized conversion rates by implementing advanced prompt engineering and memory key logic, enabling the AI to retain complex user context and significantly reducing drop-off rates during high-stakes financial negotiations.
- Maximized lead recovery by engineering automated re-engagement workflows using AI-led follow-ups and push activations, which successfully reactivated dormant negotiations and increased the volume of high-intent leads for the sales team.
- Established a data-driven feedback loop by integrating AI-driven statistical analysis into Power BI dashboards, converting raw conversational data into real-time KPIs that directly informed strategic product pivots and marketing optimizations.
- Engineered a RAG architecture to ground AI responses in real-time data, drastically reducing model hallucinations and ensuring high factual accuracy during complex financial product explanations to prospective clients.
- Piloted a systematic prompt testing framework to iterate on AI personas and instruction sets, identifying the high-conversion narrative styles and points for adjustments, and running a QA process before deploying to production.
Group Product Manager
Itaú Unibanco
- Orchestrated the launch of personalized financial health tools, utilizing customer behavior data and AI systems to provide actionable insights that increased long-term user retention.
- Deployed an AI-driven support agent that automated high-volume inquiries, reducing human call center volume while maintaining a first-contact resolution rate.
- Orchestrated the development of a machine learning (ML)-based dynamic pricing engine that adjusted interest rates based on real-time risk profiles, maximizing margins without impacting customer acquisition costs.
- Spearheaded the deployment of a predictive AI "Next Best Offer" engine that analyzed behavioral data to match clients with optimal plans, resulting in an uplift in conversion and a more seamless digital sales journey.
- Collaborated with risk and data science teams to deploy real-time credit decisioning engines, balancing aggressive growth targets with strict financial regulatory requirements.
- Architected a Platform as a Product (PaaP) strategy for internal banking APIs/systems, streamlining the integration process, reducing development overhead, and the development effort and time.
- Spearheaded the digital transformation of the Consortium product, migrating legacy processes to a mobile-first architecture that served over 400,000 monthly active users.
- Managed a high-performance cluster of 5+ squads, using Agile at Scale.
- Implemented a rigorous data-driven prioritization framework that reduced time-to-market for new features through improved stakeholder alignment and sprint efficiency, and aligned with the OKRs.
- Optimized the digital onboarding funnel by identifying and removing technical bottlenecks, which led to an improvement in successful sales, churn reduction, and a higher NPS.
Head of Product
Keyfast
- Pioneered Keyfast's disruptive value proposition by applying AI to the real estate market. Led the definition and execution of a digital vision and product strategies, also incorporating new technologies such as ML and LLM.
- Built a POC that uses an ML model integrated with a huge real estate database, to find the right house for the client in a short time, closing 10 deals in 1st month and 3 million in financing, an excellent result to validate the value proposition.
- Launched the MVP of an AI SaaS solution enabling real estate agents to manage properties and helping buyers find suitable homes.
- Created a user-centered mindset, with a deep understanding of the users and their pain points, as well as being hands-on and quickly formulating and validating the hypothesis to define the next steps.
- Created the product and IT function, led a fully remote team in another Brazilian state, managed contracts with remote consulting and design freelancers, and selected tech points (Azure cloud architecture).
Group Product Manager
Chama The App
- Orchestrated the product strategy across distributed squads in Amsterdam and Brazil, ensuring seamless alignment between the European headquarters and local market operational needs.
- Led a cross-functional international team of developers and designers to launch a revamped driver-side app, significantly improving delivery efficiency and driver satisfaction metrics.
- Implemented a data-driven geospatial routing model that optimized supply and demand location in real-time, reducing customer wait times and optimizing the marketplace equilibrium.
- Navigated complex international stakeholder environments to prioritize the product roadmap, balancing rapid scaling requirements with high-quality technical standards and UX.
Group Product Manager and Program Manager
Accenture Brasil
- Led the digital transformation strategy for high-profile clients such as Itaú Banking, managing cross-functional squads to deliver robust mobile and web solutions under tight consulting deadlines.
- Orchestrated remote collaboration across distributed teams, utilizing advanced Agile methodologies to ensure seamless communication and alignment between technical squads and stakeholders.
- Facilitated complex discovery workshops for diverse projects, translating vague business goals into structured product roadmaps and technical backlogs that prioritized high-value feature delivery.
- Managed stakeholder expectations across parallel projects, balancing competing priorities and resource allocation to maintain a consistent velocity and high-quality deployment standard.
- Implemented a data-driven performance tracking system across multiple squads, enabling real-time visibility into project health and allowing for proactive adjustments to meet client KPIs.
- Mentored junior product owners and developers in Agile best practices, fostering a culture of continuous improvement and operational excellence within a fast-paced consulting environment.
Global Product Manager
Easy Taxi
- Led the end-to-end development of the "Easy Corporate" global platform, architecting a scalable multi-tenancy system that empowered companies to manage employee mobility and centralized billing across diverse international markets.
- Spearheaded the B2B product expansion from Brazil into international territories, successfully launching the corporate solution in several LatAm countries and also in two African markets.
- Managed a high-concurrency global product backlog, utilizing a data-driven prioritization framework to balance urgent regional growth requirements with long-term platform scalability and technical stability, and aligned with the OKRs.
- Spearheaded the integration of localized payment solutions across diverse markets, including cash and voucher systems, which significantly reduced friction and increased the total addressable market in underbanked regions.
- Established a streamlined communication bridge between international operations and the central engineering team, reducing "information silos" and accelerating the feedback loop for localized feature requests.
- Optimized passenger retention strategies through targeted A/B testing, contributing to a measurable increase in monthly active users (MAU) across the Latin American market.
Product Coordinator
ZAP Imóveis
- Launched the first dedicated real estate mobile applications (iOS and Android) in Brazil, establishing a new digital standard for property discovery and securing the number one ranking in the app stores for the category.
- Orchestrated a comprehensive technical overhaul of the marketplace platform, leading the migration to AWS and re-architecting the back end to significantly improve delivery speed, system uptime, and scalability for millions of listings.
- Established a dedicated data product vertical from the ground up, delivering automated dashboards that integrated user behavior with financial metrics to provide real-time KPIs and insights.
- Implemented a client-centric KPI framework that synchronized financial performance with user satisfaction data, enabling data-driven product pivots that increased lead quality and marketplace conversion.
- Directed the end-to-end redesign of the web platform, optimizing the lead generation funnel for brokers while enhancing the visitors' search experience.
- Pioneered the "mobile-first" strategy within the Brazilian real estate sector, successfully transitioning the legacy business model from a web-only portal to a dominant cross-platform marketplace leader.
Project History
Multi-agent AI Ecosystem for End-to-end Sales & Lead Qualification
The sales process relied on static chatbots, traditional eCommerce, or delayed human intervention. Users frequently abandoned the funnel because traditional tools lacked the sophistication to handle complex scenarios, maintain context across multiple sessions, and support personalization, resulting in a poor experience and missed conversion opportunities.
I spearheaded the transformation by architecting a multi-agent orchestration. The approach started with a deep mapping of the customer journey to identify intent triggers. I then developed specialized agents for qualification and objection handling, ensuring that context persisted across the journey. Finally, I integrated automated re-engagement workflows via WhatsApp to re-activate dormant leads. This structured orchestration enabled an end-to-end digital journey through AI, with human-led closure of edge cases, optimizing the entire funnel.
I transformed a fragmented sales process into a 24/7 proactive ecosystem. The seamless context transfer between agents, along with personalization, significantly improved customer experience—positioning the platform as a leader in AI-driven commerce.
RAG-based Knowledge Base for Real-time Negotiation
The primary obstacle was ensuring the factual integrity of AI-generated answers. In the complex consortium market, generic AI responses often produced hallucinations about rules and group-specificities. This lack of precision created significant legal risks and eroded customer trust during the consulting phase, reflecting in lost sales opportunities.
We developed a retrieval-augmented generation (RAG) architecture to ground the AI in verified data. The process involved ingesting complex rules into a structured knowledge base, followed by the implementation of prompt engineering to prioritize factual retrieval over creative generation. This rigorous approach ensured that every AI interaction was anchored in truth, providing a reliable automated consultant that could handle sophisticated inquiries and in a personalized way
Mitigated risks by ensuring high-fidelity, grounded AI responses. This established a foundation of trust with users, reduced the need for manual compliance audits, and proved the viability of using AI as a sales agent.
AI-driven Smart Offer System
The sales team struggled to manually select optimal consortium plans from a complex and vast portfolio. Without real-time data integration, the process was slow and disconnected from the client’s financial reality, leading to friction during sales meetings and a lack of perceived value, which often resulted in customers abandoning the journey or higher churn.
We orchestrated a Smart Offer copilot for the sales force using customer attributes, such as age, salary, and risk profile, and mapped them against a dynamic database of plans. The implementation involved researching customer and seller pain points, followed by developing a ranking algorithm to deliver a curated shortlist of compatible options directly to the sales system. This transformed the interaction from a generic pitch into a data-backed consultative session, ensuring that every proposal balanced the customer’s profile with their long-term equity goals.
We modernized the consortium journey by replacing manual search with real-time plan matching. This improved sales quality, reduced fraud, and established a scalable model for a data-driven sales process.
Payment Modernization – PaaP
The payment infrastructure was fragmented across multiple legacy applications, leading to inconsistent user experiences, risks, and slow development cycles. Each part of the business had to build its own payment logic, creating significant technical debt and making it difficult to reuse and scale modern solutions.
I spearheaded the PaaP initiative to centralize all payment capabilities into a unified, API-first hub in Consortium. The project focused on building a standardized core that any squad could “plug into” to enable payments via Pix, installments, or debit. My approach involved a complete re-architecture of the payment journey, moving from siloed systems to a shared service layer. I migrated all Consortium systems to this new platform, ensuring that the infrastructure was robust enough to handle high traffic volume while remaining flexible for future innovations.
I created a scalable, future-ready payment foundation that accelerated the release of new features. By treating the core as a product, we eliminated redundancies and improved reuse, stability, maintenance, and new-feature development.
Education
Master of Business Administration (MBA) in Strategic and Economic Business Management
Fundação Getulio Vargas - São Paulo, Brazil
Specialization in Strategic Business Management
Fundação Getulio Vargas - São Paulo, Brazil
Specialization in Business Administration
Fundação Getulio Vargas - Campinas, Brazil
Bachelor's Degree in Electrical Engineering
State University of Campinas - Campinas, Brazil
Certifications
GenAI for Execs & Business Leaders: Integration Strategy
IBM
GenAI for Executives & Business Leaders: An Introduction
IBM
CS50's Introduction to Programming with Python, Artificial Intelligence
Harvard University
AI for Everyone: Master the Basics
IBM
Leadership
Itaú
Artificial Intelligence in Marketing
University of Virginia
Product Analytics
Tera
Business Strategy
Tera
Generative AI (fundamentals, application in digital products and strategy)
Tera
Product Leadership
Tera
Executive Communication
Itaú
Empowered Workshop
SVPG (Silicon Valley Product Group) - Marty Cagan
Inspired Workshop
SVPG (Silicon Valley Product Group) - Marty Cagan
Complete Data Science & Machine Learning
Udemy
A-Z Machine Learning using Azure Machine Learning
Udemy
Scaled Professional Scrum - SPS
Scrum.org
Design Thinking e Innovation SP Jam
SPJam
Certified Scrum Product Owner (CSPO)
Scrum Alliance
Skills
Tools
Jira, Asana, n8n, Claude, Microsoft Power BI, Figma, SendGrid, Trello, Google Analytics, Visio, Tableau, Azure Machine Learning, Postman
Paradigms
Agile, Scrum, Requirements Analysis, Agile Product Management, Agile Project Management, Design Thinking, B2C, Rapid Prototyping, Change Management, Kanban
Industry Expertise
Financial Services
Platforms
Twilio, Mixpanel, SharePoint, Azure
Other
Projects, Data, Product Development, Strategy, Business Planning, Product Launch, Launch Strategy, Project Management, Planning, Scrum of Scrums, Scaled Professional Scrum (SPS), Agile at Scale, Analytics, Product Lifecycle Management (PLM), Data-driven Decision-making, Objectives & Key Results (OKRs), Startups, Mobile, Product Strategy, Responsive Design, Proof of Concept (POC), Team Management, Product Leadership, Team Leadership, Stakeholder Engagement, Project Delivery, Project Planning, Software Development Lifecycle (SDLC), Technical Product Management, Technical Project Management, Product Management, Business Analysis, Agile Product Delivery, Product Owner, Product Discovery, SaaS, Project Budget Management, Project Development, Digital Transformation Program Management, Product Transformation, Distributed Team Management, Cross-functional Team Leadership, Mobile UX, Execution, Product Frameworks, Process Analysis, Workflow Diagrams, Documentation, Product Ownership, Data Analysis, Data Processing, Digital Product Management, Enterprise Project Management, Cross-functional Coordination, API Platforms, Enterprise SaaS, Architecture, Estimation & Planning, Feature Analysis, Product Roadmaps, Artificial Intelligence (AI), Generative Artificial Intelligence (GenAI), Agentic AI, User Experience (UX), Outcome-driven Innovation (ODI), Platform as a Product, Business Administration, Finance, Market Fit, Profit & Loss (P&L), Expansion Strategy, Programming, Statistics, SQL, Artificial Intelligence Product Manager, Product Vision, APIs, Payments, B2B, Innovation, Banking Products, Large Language Models (LLMs), Retrieval-augmented Generation (RAG), CRM, Search Engines, Machine Learning, Clustering, Data Science, Market Strategy and Research Product Manager, Product Marketing, AI Consulting, Program Management, AI Product Management, Modernization, Client Relationship Management, Corporate Governance, Regulatory Compliance, Resource Planning & Analysis, Customer Relationship Management (CRM), Field Service Management, Natural Language Processing (NLP), Knowledge Management, Business Process Re-engineering, AI Integration, Data Extraction, HTML, AI Security, IT Governance, Claude Cowork, Marketing, Evaluation, Electrical Engineering, Microelectronics, Computer, Personal Marketing, Accounting, Python, Pandas, Google AI Platform, Cloud, WhatsApp API, A/B Testing, AI Prompts, Prompt Engineering, Knowledge Bases, Sales, Product Benchmarking, New Product Rollout, Go-to-market (GTM) Strategies, Stakeholder Management, User Surveys, Sales Funnel, Traffic Analysis, Cluster Analysis, P&L Management, Budget Modeling, Minimum Viable Product (MVP), Miro, Gemini, Claude Code, ChatGPT, Firefoo, Mind Maps, ClickUp, Visual Studio Code (VS Code), PIX, Client Communication, User Journeys, AI Agents, Roadmaps, Prioritization, Platform as a Product (PaaP), AI Product Strategy, Agile Transformation, Digital Transformation, Governance, Compliance, General Data Protection Regulation (GDPR), Discovery, Process Flows, Budget Management, Net Promoter Score (NPS), Career Coaching, Product Coach, Project Discovery, Customer Retention, Databases, Outsourcing, Partnerships, New Product Development, PMO, Growth, AI Agent Orchestration, Credit Risk, Portfolio Management, Site Reliability Engineering (SRE), Version Control, Scalability, Remote Team Leadership, International Projects, Last Mile Logistics, Oil & Gas Standards, Delivery, Information Technology, Geolocation, Demand Planning, AI Marketing, Product Analytics, Account Management, MongoDB, Fraud Detection, Fraud Prevention, Internationalization, Latin America (LATAM), Stakeholder Alignment, Global Strategy, Global Operations, Emerging Markets, Rideshare Services, Geospatial Data, Promotion Strategy, Web, Android, iOS, Web Analytics, Langfuse, Google Antigravity, Perplexity, Amazon Web Services (AWS), Google Cloud, AI Chatbots, Azure SQL, Swagger
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